We present a fast method that adaptively approximates large-scale functional scattered data sets with hierarchical B-splines. The scheme is memory efficient, easy to implement an...
We investigate a biologically motivated approach to fast visual classification, directly inspired by the recent work [13]. Specifically, trading-off biological accuracy for comput...
This paper is devoted to a designer tool, which is an extension of particle tracing algorithm for analysis of scenes, artifacts, image ghosts, and ray tracing mechanism itself. Th...
Modelling events is one of the key problems in dynamic scene analysis when salient and autonomous visual changes occuring in a scene need to be characterised effectively as meanin...
This paper describes a localization system for mobile robots moving in dynamic indoor environments, which uses probabilistic integration of visual appearance and odometry informat...
Nicola Bellotto, Kevin Burn, E. Fletcher, Stefan W...